Sysco

Senior Data Scientist

Reposted Yesterday

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Hiring Remotely in Sri Lanka

Remote

Senior level

Food • Logistics

The Role

Design and develop large-scale data processing and ML solutions, acquire and clean data, build and deploy statistical and machine learning models (including Gen AI), create monitoring dashboards, automate ML pipelines, mentor junior data scientists, and collaborate cross-functionally in an Agile environment.

Summary Generated by Built In

JOB DESCRIPTION

Senior Data Scientist 

The Big Picture   

Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry.   

Sysco employs over 75,000 associates, has 337 smart distribution facilities worldwide, and over 14,000 IoT-enabled trucks serving 730,000 customer locations. For fiscal year 2025 that ended June 29, 2025, the company generated sales of more than $81.4 billion.   

Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations. Everything we do at Sysco LABS supports Sysco’s Purpose of “Connecting the world to share food and care for one another”, and our work directly impacts millions of food consumers in a trillion-dollar, global industry.   

For more information visit: www.syscolabs.lk   

The Opportunity

We are currently on the lookout for a Senior Data Scientist to join our team.

Responsibilities:

Design and development of large data processing solutions for one of the world's largest corporations involved in the marketing and distribution of food products.

Identify necessary data elements and their sources, leverage appropriate tools to acquire and consolidate large volumes of data from different internal and external sources, and identify and resolve any irrelevant, corrupt, missing, or incongruent data

Identify and use appropriate advanced analytic tools, technologies and platforms to execute analysis against business requirements, including the ability to scale, deploy and distribute models across the enterprise as needed.

Utilize a range of statistical and machine learning models along with Gen AI to solve complex business problems with precision.

Develop and maintain efficient, high-quality code in multiple programming languages (e.g., Python, SQL) to contribute to project success.

Apply advanced techniques to clean and preprocess data, enhancing model performance and reliability.

Develop performance scorecards and dashboards to monitor the adoption, implementation, and impact of models and strategies.

Proficiency in deploying machine learning models using docker and cloud services (e.g., AWS SageMaker, GCP Vertex AI), setting up necessary infrastructure like pipelines and batch jobs.Has the ability to setup complicated infrastructure (pipelines, batch jobs, etc.) to automate any stage of an ML model lifecycle.

Work collaboratively in a cross-functional team in an Agile delivery environment.

Manage data science projects end-to-end and mentor junior data scientists, while effectively collaborating with stakeholders to drive actionable insights.

Requirements:

A Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, Neuroscience or another technical field with a focus on quantitative research with 2+ years of experience or a Master’s Degree in an equivalent program

Experience in accessing and manipulating data in SQL or NoSQL database environments

Knowledge of scientific scripting languages (e.g., Python) and/or object-oriented or programming (e.g., C++, Java)

An in depth understanding of Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis required